Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Woleek/camera-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woleek/camera-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woleek/camera-type") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Woleek/camera-type") model = AutoModelForImageClassification.from_pretrained("Woleek/camera-type", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72dc70a731a626b217682bcd711eae01721960e44b64db576c12265f4bf98a1d
- Size of remote file:
- 343 MB
- SHA256:
- 1d9e93a397eb093ec4fe14e8f7d6fb52de2afc10b7ad8b9ef877e9aa5d2a458a
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